NVIDIA Research at SIGGRAPH 2024
Key Takeaways
NVIDIA researchers presented 23 technical papers at SIGGRAPH 2024, focusing on simulation research and AI models, including 3D generation and real-time content creation.
Full Transcript
[Music] media is everywhere at se we have a 23 technical papers we have the open USD day we also have the Gen day this is my first sigra so I'm really excited about presenting my own work and also helping out with a real-time life demo Sig is really a wonderful meeting point between creators and researchers especially researchers in AI that want to build tools for those creators I think the impact of the research from our team and Nvidia is really helping the artist for example I've been working with the team on 3D generation it can help accelerate the work as a tool for artists so this year we see that AI tools for creators allow them to generate content in a way that is much more interactive and much more Dynamic there's generation of 3D data of video data of embedded data and creators can interactively generate and edit and repeat this process I super excited about Sig Real Time Life where we show how we delage gen technology to generate USD for 3D content creation Real Time Life challenging a team in multiple aspects not only you need to have the coolest technology you also got very few minutes to expand the techology to the audience yeah this is getting really hot here I think we're really doing like the front edge research that has really huge impact I look forward to learn the ladies and great this technology and also brain Stone about what the coolest research we can do for the next SEA [Applause]
Original Description
Our NVIDIA researchers shared how simulation research is improving AI models — and how AI models are improving simulation technology, at #SIGGRAPH2024
This video is a quick throwback to an amazing experience at the event, where our NVIDIA Research team presented 23 papers, participated in both OpenUSD Day and Gen AI Day, and competed in Real-Time Live!
Read more: https://blogs.nvidia.com/blog/siggraph-2024-ai-graphics-research/
We enjoyed the great conversations with attendees, and look forward to next year.
#generativeai #nvidiaresearch #nvidiaai #machinelearning #generativemodels #siggraph2024 #siggraph #graphics
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from NVIDIA Developer · NVIDIA Developer · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
Ray Tracing Essentials Part 2: Rasterization versus Ray Tracing
NVIDIA Developer
Ray Tracing Essentials Part 3: Ray Tracing Hardware
NVIDIA Developer
Ray Tracing Essentials Part 4: The Ray Tracing Pipeline
NVIDIA Developer
NsightGraphics 2020 2 Release Spotlight
NVIDIA Developer
Ray Tracing Essentials Part 5: Ray Tracing Effects
NVIDIA Developer
Ray Tracing Essentials Part 6: The Rendering Equation
NVIDIA Developer
Ray Tracing Essentials Part 7: Denoising for Ray Tracing
NVIDIA Developer
Spatiotemporal Importance Resampling for Many-Light Ray Tracing (ReSTIR)
NVIDIA Developer
Announcing Cloud-Native Support for Jetson Platform
NVIDIA Developer
JetsonTV: Build your next project with NVIDIA Jetson
NVIDIA Developer
Nsight Compute Feature Spotlight: Roofline Analysis, Asynchronous Copy, Sparse Data Compression
NVIDIA Developer
Nsight Systems Feature Spotlight: OpenMP
NVIDIA Developer
Isaac Sim 2020: Deep Dive
NVIDIA Developer
NVIDIA Jetson: Enabling AI-Powered Autonomous Machines at Scale
NVIDIA Developer
NVIDIA Tools to Train, Build, and Deploy Intelligent Vision Applications at the Edge
NVIDIA Developer
Jetson Xavier NX Developer Kit: The Next Leap in Edge Computing
NVIDIA Developer
Synthesizing High-Resolution Images with StyleGAN2
NVIDIA Developer
NVIDIA Robotics: Isaac SDK and Sim 2020.1
NVIDIA Developer
Accelerating COVID-19 Research with GPUs
NVIDIA Developer
Visualizing 150 Terabytes of Data
NVIDIA Developer
Boosting Performance and Utilization with Multi-Instance GPU
NVIDIA Developer
Running Multiple Workloads on a Single A100 GPU
NVIDIA Developer
NVIDIA Nsight Feature Spotlight: GPU Trace
NVIDIA Developer
Spark 3 Demo: Comparing Performance of GPUs vs. CPUs
NVIDIA Developer
NVIDIA Jetson Nano Wins Edge AI and Vision Alliance Award
NVIDIA Developer
NVIDIA IndeX on Google Cloud Platform Marketplace
NVIDIA Developer
DeepStream SDK: Best practices for performance optimization
NVIDIA Developer
Efficiently Deploying GPU Accelerated 5G CloudRAN for Edge AI Inferencing
NVIDIA Developer
NVIDIA PhysicsNeMo - Accelerating Scientific & Engineering Simulation Workflows with AI
NVIDIA Developer
NVIDIA Deep Learning Institute Instructor-Led Training Available Remotely
NVIDIA Developer
Advancing AR Glasses
NVIDIA Developer
Blender Cycles: RTX On
NVIDIA Developer
Real-Time GPU-Accelerated Data Analytics of 250 million Flight Data Records of 737 Max grounding
NVIDIA Developer
Assessing Property Damage with AI
NVIDIA Developer
RAPIDS: GPU-Accelerated Data Analytics & Machine Learning
NVIDIA Developer
DaVinci Resolve Turns RTX On
NVIDIA Developer
RAPIDS with Plotly Dash : GPU-Accelerated Census 2010 Visualization
NVIDIA Developer
NVIDIA IndeX for arivis5D Cloud Platform
NVIDIA Developer
NVIDIA Backchannel: Behind the Scenes of Marbles at Night RTX
NVIDIA Developer
NVIDIA Backchannel: Sneak Peek into Marbles RTX in Omniverse
NVIDIA Developer
How to Create "Paint" in Substance Painter
NVIDIA Developer
Accelerate AI development for Computer Vision on the NVIDIA Jetson with alwaysAI
NVIDIA Developer
Securing Next Generation Apps over VMware Cloud Foundation with Bluefield-2 DPU
NVIDIA Developer
Accelerated Data Centers with NVIDIA and VMware
NVIDIA Developer
GPU-Accelerated Motion Blur in Blender Cycles
NVIDIA Developer
NVIDIA Clara Guardian Virtual Patient Assistant
NVIDIA Developer
Revolutionizing Supercomputing with NVIDIA UFM Cyber-AI
NVIDIA Developer
Inventing Virtual Meetings of Tomorrow with NVIDIA AI Research
NVIDIA Developer
Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion
NVIDIA Developer
Getting started with Jetson Nano 2GB Developer Kit
NVIDIA Developer
NVIDIA Jetson Developer Community AI Projects
NVIDIA Developer
Open-source projects on NVIDIA Jetson Nano 2GB Developer Kit
NVIDIA Developer
Real-Time Ray Tracing with Project Lavina
NVIDIA Developer
Jetson AI Fundamentals - S1E2 - Hello Camera
NVIDIA Developer
Develop Optimized Conversational AI Models with NVIDIA NeMo on DGX A100
NVIDIA Developer
Jetson AI Fundamentals - S1E4 - Image Regression Project
NVIDIA Developer
Jetson AI Fundamentals - S2E1 - JetBot Intro and Hardware
NVIDIA Developer
Jetson AI Fundamentals - S2E2 - JetBot Software Setup
NVIDIA Developer
Jetson AI Fundamentals - S1E1 - First Time Setup with JetPack
NVIDIA Developer
Jetson AI Fundamentals - S1E3 - Image Classification Project
NVIDIA Developer
More on: Reading ML Papers
View skill →Related Reads
📰
📰
📰
📰
A lightweight workflow for keeping up with AI conference papers
Dev.to · Daniel
Why CitedEvidence Believes Great Researchers Read Less Than You Think
Medium · AI
How to Write a Literature Review That Actually Argues Something
Medium · Machine Learning
I Built a Personal Paper Engine to Stop Losing Research Papers
Dev.to · Ethan
🎓
Tutor Explanation
DeepCamp AI